@inproceedings{45ba901dd35542de8fb5978ba5f3f671,
title = "A two-tier system for web attack detection using linear discriminant method",
abstract = "Computational cost is one of the major concerns of the commercial Intrusion Detection Systems (IDSs). Although these systems are proven to be promising in detecting network attacks, they need to check all the signatures to identify a suspicious attack in the worst case. This is time consuming. This paper proposes an efficient two-tier IDS, which applies a statistical signature approach and a Linear Discriminant Method (LDM) for the detection of various Web-based attacks. The two-tier system converts high-dimensional feature space into a low-dimensional feature space. It is able to reduce the computational cost and integrates groups of signatures into an identical signature. The integration of signatures reduces the cost of attack identification. The final decision is made on the integrated low-dimensional feature space. Finally, the proposed two-tier system is evaluated using DARPA 1999 IDS dataset for webbased attack detection.",
keywords = "Feature selection, Intrusion detection, Linear discriminant method, Packet payload, Web-based attack",
author = "Zhiyuan Tan and Aruna Jamdagni and Xiangjian He and Priyadarsi Nanda and Liu, {Ren Ping} and Wenjing Jia and Yeh, {Wei Chang}",
year = "2010",
doi = "10.1007/978-3-642-17650-0_32",
language = "English",
isbn = "3642176496",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "459--471",
booktitle = "Information and Communications Security - 12th International Conference, ICICS 2010, Proceedings",
note = "2010 International Conference on Information and Communications Security, ICICS 2010 ; Conference date: 15-12-2010 Through 17-12-2010",
}
